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Adaptive resource allocation in telecommunications
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DOI：10.1117/12.367703.png)
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Abstract
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This paper looks at the general problem of resource allocation in telecommunication networks. It gives an overview of the problem and argues for adaptive methods in the complex telecommunication environment. In particular it discusses a general methodology known as reinforcement learning. The paper presents two examples-admission control in packet data networks, and battery management for mobile communication.
Keywords:
resource allocation
packet networks
power control
neural networks
reinforcement learning
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